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Record W2130573961 · doi:10.1158/1538-7445.am2014-4486

Abstract 4486: Stromal depletion by a docetaxel nanoparticle for enhanced therapy of breast and pancreatic cancer

2014· article· en· W2130573961 on OpenAlexaff
Mark J. Ernsting, Mami Murakami, Elijus Undzys, Shyh‐Dar Li

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsDocetaxelStromal cellStromaPancreatic cancerMedicineCancer researchPaclitaxelTumor microenvironmentBreast cancerDrug deliveryPathologyCancerChemistryInternal medicineImmunohistochemistry

Abstract

fetched live from OpenAlex

Abstract Tumor stroma consists of genetically normal cells that express abnormal phenotype in the tumor microenviroment, and are drivers of tumor cell proliferation and migration processes. Stromal cells can represent a significant fraction of tumor mass, and represent a barrier to drug delivery, given that stromal fibroblasts exert contractile forces which reduce vascular perfusion and increase interstitial fluid pressure. In the field, the stroma is widely recognized as a target for therapy, both to normalize the reactive microenvironment, and to reduce drug delivery barriers, but with limited clinical success. We have developed a nanoparticle delivery system for docetaxel (Cellax), a conjugate of carboxymethylcellulose and PEG, which condenses into well defined 120 nm particles suitable for intravenous administration. In addition to enhanced pharmacokinetics, 5-10X improved tumor uptake, and enhanced anti-tumor efficacy compared to approved taxanes such as native DTX (Taxotere) and nab-PTX (an albumin-paclitaxel nano-formulation, Abraxane), we have observed an anti-stromal effect in breast and pancreatic models. In a 4T1 orthotopic breast cancer model in mice, 85% of Cellax particles were taken up by cancer-associated fibroblasts (CAF), a major component of stroma. Further, in 4T1 and MDA-MB-231 breast models, Cellax treatments reduced CAF by 82 and 70% respectively, while native DTX and Nab-paclitaxel exerted no anti-stromal activity. Concomitant effects were ∼70-fold increased perfusion, ∼3-fold decreased interstitial fluid pressure (IFP), and a 7-24 fold reduction in lung metastases. In a primary human pancreatic xenograft model (OCIP19), we measured a 50% reduction in αSMA+ cells (activated pancreatic stellate cells) and macrophage within 1 day of Cellax treatment, while nab-PTX only decreased the macrophage population 3-7 days post therapy. In addition, vascular perfusion in the Cellax treated pancreatic tumor was increased 12X relative to nab-PTX and control treatment groups, with significantly reduced metastases. Preliminary mechanistic studies indicate that albumin absorbs to Cellax particles, promoting interaction with SPARC-expressing stromal cells, leading to stroma-specific activity. Citation Format: Mark Ernsting, Mami Murakami, Elijus Undzys, Shyh-Dar Li. Stromal depletion by a docetaxel nanoparticle for enhanced therapy of breast and pancreatic cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4486. doi:10.1158/1538-7445.AM2014-4486

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.400
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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